Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computing device comprising: a memory; and a processor, wherein the computing device is configured to: receive health-related information from an individual; receive taste-related preference data from a individual; based on the health-related information, determine a suggested formulation for a supplement for the individual; based on the taste-related preference data, determine a suggested filler medium; receive individual alterations to each of the suggested formulation and suggested filler medium; determine whether individual alterations to each of the suggested formulation and suggested filler medium are within acceptable contraindication ranges; and cause to display on a user interface the suggested formulation and the suggested filler medium to the individual; receive the individual alterations to each of the suggested formulation and suggested filler medium; wherein the formulation and filler medium are prepared and dispensed into a dosage; wherein the filler medium is a thixotropic semi-solid hydrocolloid that allows dissolution or suspension of compounds in a form that is stable until agitated or extruded at which point the semi-solid hydrocolloid becomes fluid and can be dispensed, wherein the thixotropic semi-solid hydrocolloid is solubilized to embed the formulation and then reformed as a semi-solid.
A computing device is used to personalize dietary supplements based on an individual's health and taste preferences. The system receives health-related information, such as nutritional deficiencies or medical conditions, to determine an optimal supplement formulation. Simultaneously, it collects taste-related preference data to select a suitable filler medium. The filler medium is a thixotropic semi-solid hydrocolloid, which remains stable in a semi-solid state but becomes fluid when agitated or extruded, allowing precise dispensing. The system suggests a formulation and filler medium, which the user can modify. The device checks if these modifications are within safe contraindication ranges before finalizing the supplement. The formulation is embedded in the hydrocolloid, which is then reformed into a semi-solid for stable storage and easy dispensing. This approach ensures personalized, safe, and user-friendly supplement preparation.
2. The computing device of claim 1 , wherein the health-related information is one of weight, height, sex, age, and health status.
A computing device is configured to process and analyze health-related information to provide personalized recommendations or insights. The device collects and stores health-related data, which may include weight, height, sex, age, and health status. This data is used to generate tailored outputs, such as fitness suggestions, dietary guidance, or health monitoring alerts. The system may also integrate additional health metrics or user preferences to refine recommendations. By leveraging this structured health information, the device aims to improve user well-being through data-driven insights. The technology addresses the need for personalized health management by automating the analysis of key physiological and demographic factors, enabling users to make informed decisions about their health. The system may further include interfaces for data input, processing modules for analysis, and output mechanisms to deliver actionable recommendations. This approach enhances traditional health monitoring by incorporating multiple health parameters into a cohesive framework, supporting proactive health management.
3. The computing device of claim 1 , wherein the computing device is further configured to store a profile on the individual.
A computing device is designed to monitor and analyze human behavior, particularly for detecting signs of distress or abnormal activity. The device includes sensors to capture physiological data such as heart rate, movement, and vocal patterns, along with environmental data like ambient noise and lighting conditions. The device processes this data using machine learning algorithms to identify patterns indicative of distress, such as elevated heart rate, erratic movement, or changes in speech. When distress is detected, the device can trigger alerts, notify designated contacts, or initiate predefined actions like calling emergency services. Additionally, the device stores a profile for each monitored individual, which may include baseline physiological data, behavioral patterns, and personalized alert thresholds. This profile allows the system to adapt its detection criteria to the individual's unique characteristics, improving accuracy and reducing false positives. The device may also log historical data for long-term analysis, enabling trends to be identified over time. The system is particularly useful in healthcare, elder care, and workplace safety applications, where early detection of distress can prevent adverse outcomes. The stored profile ensures personalized monitoring, enhancing the device's effectiveness in diverse scenarios.
4. The computing device of claim 3 , wherein the profile includes at least one of medical history, family medical history, nutritional, dietary, and pharmacological product consumption.
This invention relates to computing devices configured to manage and analyze health-related data for individuals. The system addresses the challenge of integrating and processing diverse health information to provide personalized insights and recommendations. The computing device includes a profile module that stores and processes health-related data, which may include medical history, family medical history, nutritional intake, dietary habits, and pharmacological product consumption. This data is used to generate actionable health insights, such as identifying potential health risks, suggesting dietary adjustments, or monitoring medication adherence. The system may also include a data input module for collecting user-provided or sensor-derived health data, and an analysis module that processes this information to detect patterns, trends, or anomalies. The computing device may further include a recommendation engine that generates tailored health advice based on the analyzed data. The invention aims to improve health management by consolidating fragmented health information into a unified system that supports proactive and personalized healthcare decisions.
5. The computing device of claim 1 , wherein the computing device is further configured to determine a formulation relevancy score based on the health-related information and suggested formulation.
This invention relates to computing devices that analyze health-related information to generate and evaluate suggested formulations, such as personalized medical treatments or dietary plans. The problem addressed is the need for automated systems that can assess the relevance of proposed formulations based on individual health data, ensuring tailored and effective recommendations. The computing device processes health-related information, which may include medical history, genetic data, lifestyle factors, or real-time biometric measurements. It generates a suggested formulation, such as a medication dosage, supplement regimen, or dietary adjustment, based on this data. The device then evaluates the formulation by determining a formulation relevancy score, which quantifies how well the suggestion aligns with the individual's health needs. This score may be derived from statistical models, machine learning algorithms, or rule-based systems that weigh the relevance of the formulation against the health-related information. The system may also incorporate feedback mechanisms, such as user-reported outcomes or additional health data, to refine future formulations. By dynamically adjusting recommendations based on relevancy scores, the device aims to improve the accuracy and effectiveness of personalized health interventions. This approach is particularly useful in fields like precision medicine, where tailored treatments are critical for optimal patient outcomes.
6. The computing device of claim 5 , wherein the computing device is further configured to display the formulation relevancy score to the individual.
A computing device is designed to assist individuals in evaluating the relevance of formulations, such as scientific or technical formulations, to their specific needs. The device includes a display interface that presents a formulation relevancy score to the user, which quantifies how well a given formulation aligns with their requirements. This score is derived from an analysis of the formulation's properties, such as its composition, performance metrics, or other relevant attributes, and is compared against predefined criteria or user-specified parameters. The device may also include input mechanisms for the user to provide additional context or preferences that refine the relevancy assessment. By displaying the score, the device enables users to quickly identify the most suitable formulations without requiring extensive manual review. This system is particularly useful in fields like research, product development, or quality control, where evaluating multiple formulations efficiently is critical. The device may also incorporate machine learning or statistical models to improve the accuracy of the relevancy scoring over time.
7. The computing device of claim 1 , wherein the computing device is further configured to determine a filler relevancy score based on the taste-related information and suggested filler.
This invention relates to computing devices that analyze taste-related information to recommend food or beverage fillers. The problem addressed is the need for personalized and relevant filler suggestions based on individual taste preferences, ensuring better user satisfaction and dietary compatibility. The computing device includes a processor and memory storing instructions that, when executed, enable the device to receive taste-related information from a user, such as flavor preferences, dietary restrictions, or ingredient aversions. The device then generates a list of suggested fillers, which could include ingredients, toppings, or mix-ins for food or beverages. To refine these suggestions, the device calculates a filler relevancy score for each potential filler by comparing the taste-related information with the properties of the suggested filler. This score quantifies how well the filler aligns with the user's preferences, ensuring that only the most relevant options are presented. The device may also rank or filter the suggestions based on these scores, providing a prioritized list of fillers that best match the user's taste profile. This approach enhances user experience by delivering personalized and contextually appropriate recommendations.
8. The computing device of claim 7 , wherein the computing device is further configured to display the filler relevancy score to the individual.
Technical Summary: This invention relates to computing devices that evaluate and display the relevancy of filler content in digital communications. The problem addressed is the inefficiency and potential miscommunication caused by excessive or irrelevant filler content in messages, such as emails, documents, or chat conversations. Filler content may include redundant phrases, unnecessary words, or off-topic information that detracts from the core message. The computing device analyzes digital communications to identify filler content and calculates a filler relevancy score, which quantifies how much the filler content deviates from the primary message. The device processes the communication using natural language processing (NLP) techniques to determine the relevance of each segment of text. It then generates a filler relevancy score based on factors such as word frequency, semantic coherence, and contextual appropriateness. The score is displayed to the user, allowing them to assess and potentially refine their communication for clarity and conciseness. The computing device may also provide suggestions for removing or modifying filler content to improve the overall quality of the communication. This feature helps users optimize their messages for better readability and effectiveness. The system is particularly useful in professional or formal settings where clear and concise communication is critical. By highlighting filler content and its impact, the invention enhances productivity and reduces miscommunication in digital interactions.
9. The computing device of claim 1 , wherein when it is determined that individual alterations to each of the suggested formulation and suggested filler medium are not within acceptable contraindication ranges, the computing device communicates a request for independent review by a health care professional.
This invention relates to a computing device for optimizing medical formulations and filler mediums, addressing the challenge of ensuring safe and effective adjustments to medical treatments. The device evaluates suggested alterations to formulations and filler mediums, comparing them against predefined contraindication ranges to determine acceptability. If individual alterations fall outside these ranges, the device triggers a request for independent review by a healthcare professional, ensuring patient safety. The system may also analyze compatibility between the formulation and filler medium, assessing factors like chemical interactions, stability, and therapeutic efficacy. If compatibility issues are detected, the device may recommend adjustments or additional testing. The device further supports user input, allowing healthcare professionals to modify parameters or override automated decisions when necessary. The overall goal is to streamline formulation optimization while maintaining rigorous safety checks, reducing the risk of adverse reactions and improving treatment outcomes.
10. The computing device of claim 1 , wherein the computing device is further configured to display, on the user interface, a series of health-related questions for response by the individual forming the health-related information.
A computing device is configured to collect and process health-related information from an individual. The device includes a user interface for displaying health-related questions to the individual, who provides responses that form the health-related information. The device may also include a sensor interface for receiving physiological data from one or more sensors, such as heart rate, blood pressure, or glucose levels, which are processed to generate health-related information. Additionally, the device may include a communication interface for transmitting the collected health-related information to a remote server or another computing device for further analysis or storage. The device may also be configured to analyze the health-related information to detect patterns, trends, or anomalies, and generate alerts or recommendations based on the analysis. The health-related questions displayed on the user interface may cover various aspects of the individual's health, such as diet, exercise, sleep, or medical history, to provide a comprehensive assessment of the individual's health status. The device may also include a data processing module to process the responses to the health-related questions and the physiological data to generate a health profile or report for the individual.
11. The computing device of claim 1 , wherein the computing device is further configured to display, on the user interface, a series of taste preference-related questions for response by the individual forming the taste-related information.
A computing device is configured to collect and process taste-related information from an individual to generate personalized recommendations. The device includes a user interface for displaying a series of questions related to the individual's taste preferences, allowing the individual to provide responses that form the taste-related information. This information is then used to generate recommendations tailored to the individual's preferences. The computing device may also be configured to receive additional input from the individual, such as selections or ratings, to further refine the recommendations. The system may analyze the taste-related information to identify patterns or preferences, which are then used to suggest products, services, or content that align with the individual's tastes. The device may also include data processing components to store, analyze, and update the taste-related information over time, ensuring that the recommendations remain relevant as the individual's preferences evolve. The overall system aims to enhance user experience by providing personalized and accurate recommendations based on the individual's taste preferences.
12. The computing device of claim 1 , wherein the computing device determines a suggested formulation for a supplement for the individual by comparing the health-related information with a database.
A computing device analyzes health-related data to recommend personalized supplement formulations. The system collects and processes health-related information, such as dietary habits, medical conditions, or biochemical markers, to identify nutritional deficiencies or imbalances. By comparing this data against a database of supplement formulations, the device generates tailored recommendations. The database may include information on supplement ingredients, dosages, interactions, and efficacy for specific health conditions. The computing device evaluates the individual's health profile to determine the most suitable supplement composition, ensuring compatibility with their existing health status and dietary needs. This approach optimizes supplement recommendations by leveraging data-driven analysis, improving accuracy and personalization compared to generic advice. The system may also account for factors like age, gender, or lifestyle to refine suggestions further. The goal is to provide evidence-based supplement recommendations that address specific health concerns while minimizing risks of adverse effects.
13. A method comprising: receiving health-related information from an individual; receiving taste-related preference data from an individual; based on the health-related information, determining a suggested formulation for a supplement for the individual; based on the taste-related preference data, determining a suggested filler medium; receiving individual alterations to each of the suggested formulation and suggested filler medium; determining whether individual alterations to each of the suggested formulation and suggested filler medium are within acceptable contraindication ranges; and causing to display on a user interface the suggested formulation and the suggested filler medium to the individual; receiving the individual alterations to each of the suggested formulation and suggested filler medium; wherein the formulation and filler medium are prepared and dispensed into a dosage; wherein the filler medium is a thixotropic semi-solid hydrocolloid that allows dissolution or suspension of compounds in a form that is stable until agitated or extruded at which point the semi-solid hydrocolloid becomes fluid and can be dispensed, wherein the thixotropic semi-solid hydrocolloid is solubilized to embed the formulation and then reformed as a semi-solid.
This invention relates to personalized supplement formulation and dispensing systems that integrate health and taste preferences to create customized dietary supplements. The system addresses the challenge of balancing nutritional needs with palatability, ensuring that supplements are both effective and appealing to the user. The method involves receiving health-related data from an individual, such as dietary deficiencies or medical conditions, and taste-related preference data, such as flavor or texture preferences. Based on the health data, the system determines a suggested formulation for a supplement tailored to the individual's needs. Simultaneously, the taste preference data is used to select an appropriate filler medium that enhances the supplement's palatability. The individual can then modify both the formulation and filler medium, and the system checks whether these alterations remain within safe and effective ranges. The final formulation and filler medium are then displayed to the individual. The filler medium is a thixotropic semi-solid hydrocolloid, which remains stable until agitated or extruded, at which point it becomes fluid for dispensing. This hydrocolloid can be solubilized to embed the supplement formulation and then reformed into a semi-solid state, ensuring stability and ease of use. The system prepares and dispenses the customized supplement in a dosage form, combining health optimization with user-friendly administration.
14. The method of claim 13 , wherein the health-related information is one of weight, height, sex, age, and health status.
The invention relates to a system and method for collecting and processing health-related information from individuals. The primary problem addressed is the need for accurate and efficient gathering of health data to support medical, fitness, or wellness applications. The method involves capturing health-related information from a user, which may include weight, height, sex, age, and health status. This data is then processed to generate insights or recommendations tailored to the individual's health profile. The system may use sensors, input devices, or user interfaces to collect the information, ensuring flexibility in data acquisition. The processed data can be used for monitoring health trends, personalizing fitness programs, or providing medical assessments. The invention aims to improve the accuracy and usability of health-related data collection, enabling better decision-making in healthcare and wellness management. The method ensures that the collected information is relevant and actionable, supporting various applications in the health and fitness domain.
15. The method of claim 13 , further comprising storing a profile on the individual.
Technical Summary: This invention relates to a system for monitoring and analyzing individual behavior, particularly in environments where tracking and profiling are required. The core technology involves capturing data from sensors or devices associated with an individual, such as wearables, cameras, or biometric sensors, to detect and record specific actions, movements, or physiological responses. The system processes this data to identify patterns, anomalies, or predefined behaviors of interest, such as compliance with safety protocols, adherence to workflows, or deviations from expected conduct. The method further includes storing a detailed profile on the individual, which may contain historical data, behavioral trends, or contextual information derived from the monitored activities. This profile can be used for various purposes, including personalized feedback, performance evaluation, or predictive analytics. The system may also integrate with external databases or databases to enrich the profile with additional relevant data, such as training records or environmental conditions. The technology is designed to address challenges in environments where real-time monitoring and long-term profiling are necessary, such as industrial safety, healthcare, or security applications. By continuously analyzing behavior and maintaining comprehensive profiles, the system enables proactive interventions, automated reporting, or adaptive responses based on the individual's actions and historical data. The stored profile ensures that insights are retained and can be referenced for future analysis or decision-making.
16. The method of claim 15 , wherein the profile includes at least one of medical history, family medical history, nutritional, dietary, and pharmacological product consumption.
This invention relates to personalized health management systems that analyze user profiles to provide tailored health recommendations. The system addresses the challenge of generic health advice by incorporating detailed user-specific data to generate more accurate and relevant health guidance. The method involves creating a user profile that includes medical history, family medical history, nutritional intake, dietary habits, and pharmacological product consumption. This profile is used to assess the user's health status and identify potential risks or areas for improvement. Based on this analysis, the system generates customized health recommendations, such as dietary adjustments, medication suggestions, or lifestyle changes. The recommendations are dynamically updated as new data is collected, ensuring they remain relevant to the user's evolving health needs. The system may also integrate with wearable devices or health monitoring tools to continuously track physiological metrics, further refining the recommendations. Additionally, the method may include predictive analytics to anticipate future health risks based on the user's profile and historical data. The goal is to provide proactive, personalized health management that adapts to individual circumstances, improving overall health outcomes.
17. The method of claim 13 , further comprising determining a formulation relevancy score based on the health-related information and suggested formulation.
A system and method for personalized health-related formulation recommendations analyzes user health data to generate tailored product suggestions. The system collects health-related information, such as medical history, lifestyle factors, and user preferences, to identify relevant health conditions or needs. It then accesses a database of formulations, which may include dietary supplements, medications, or wellness products, and filters the database based on the user's health profile. The system further evaluates the compatibility of each formulation with the user's health data, considering factors like contraindications, interactions, or efficacy. A relevancy score is calculated for each formulation, ranking them based on their suitability for the user's specific health needs. The highest-scoring formulations are then presented as recommendations. The system may also refine recommendations over time by incorporating user feedback or additional health data. This approach ensures that users receive personalized, evidence-based suggestions that align with their health goals while minimizing risks. The method improves upon traditional recommendation systems by integrating comprehensive health data analysis and dynamic scoring to enhance accuracy and relevance.
18. The method of claim 17 , further comprising displaying the formulation relevancy score to the individual.
A system and method for personalized health recommendations involves analyzing an individual's health data to generate tailored dietary or supplement formulations. The method collects health data from the individual, including biomarkers, lifestyle factors, and dietary preferences, and processes this data using machine learning models to identify optimal formulations. These formulations are ranked based on their predicted effectiveness, and a relevancy score is calculated for each to indicate how well it matches the individual's needs. The relevancy score is then displayed to the individual, allowing them to make informed decisions about their health regimen. The system may also incorporate feedback from the individual to refine future recommendations. This approach aims to improve health outcomes by providing personalized, data-driven suggestions that adapt to the individual's unique physiological and lifestyle characteristics. The method ensures transparency by showing the relevancy score, helping users understand the basis for the recommendations.
19. The method of claim 13 , further comprising determining a filler relevancy score based on the taste-related information and suggested filler.
A system and method for optimizing beverage recipes by selecting fillers based on taste-related information. The technology addresses the challenge of improving beverage formulations by dynamically adjusting filler ingredients to enhance flavor profiles. The method involves analyzing taste-related data, such as flavor preferences or sensory attributes, and evaluating potential filler ingredients to determine their suitability. A filler relevancy score is calculated based on the taste-related information and the suggested filler, allowing for objective assessment of how well the filler aligns with desired taste characteristics. This score helps in selecting the most appropriate filler to achieve a desired flavor outcome. The system may also involve generating a list of candidate fillers, ranking them based on the relevancy score, and integrating the selected filler into the beverage recipe. The method ensures that filler ingredients are chosen to optimize taste while maintaining other recipe constraints, such as cost or ingredient availability. This approach is particularly useful in beverage production, where precise flavor control is critical.
20. The method of claim 19 , further comprising displaying the filler relevancy score to the individual.
A system and method for evaluating and displaying the relevancy of filler content in digital media, such as video or audio streams, to improve user engagement. The problem addressed is the presence of irrelevant or low-quality filler content in media, which reduces user satisfaction and engagement. The invention provides a solution by analyzing filler content segments within a media stream to determine their relevancy to the primary content. The method involves processing the media stream to identify filler content segments, extracting features from these segments, and generating a filler relevancy score based on the extracted features. The relevancy score quantifies how well the filler content aligns with the primary content or user preferences. The system may also adjust playback parameters, such as skipping or modifying filler segments, based on the relevancy score. Additionally, the relevancy score is displayed to the user, allowing them to assess the quality of the filler content and make informed decisions about their viewing or listening experience. This enhances user control and satisfaction by providing transparency and customization options for media consumption.
21. The method of claim 13 , wherein when it is determined that individual alterations to each of the suggested formulation and suggested filler medium are not within acceptable contraindication ranges, further comprising communicating a request for independent review by a health care professional.
This invention relates to a method for optimizing medical formulations, particularly for personalized or customized treatments where adjustments to formulation ingredients and filler mediums are necessary. The method addresses the challenge of ensuring that modifications to these components remain within safe and effective parameters, avoiding contraindications that could harm the patient. The method involves analyzing suggested alterations to both the formulation and the filler medium to determine if they fall within acceptable contraindication ranges. If the alterations are outside these ranges, the system automatically triggers a request for independent review by a healthcare professional. This ensures that any modifications are thoroughly evaluated before implementation, reducing the risk of adverse effects. The process includes evaluating the compatibility of the suggested changes with the patient's medical history, existing conditions, and other relevant factors. The system may also consider regulatory guidelines and clinical best practices to assess the safety and efficacy of the proposed adjustments. By integrating this review step, the method enhances patient safety while maintaining the flexibility needed for personalized medical treatments. The invention is particularly useful in fields such as pharmaceutical compounding, medical device customization, and other areas where tailored formulations are required.
22. The method of claim 13 , further comprising causing to display, on the user interface, a series of health-related questions for response by the individual forming the health-related information.
This invention relates to a system for collecting and processing health-related information from individuals, particularly for use in medical or wellness applications. The system addresses the challenge of efficiently gathering accurate and comprehensive health data from users, which is critical for personalized healthcare, diagnostics, or wellness programs. The method involves presenting a user interface to an individual, through which health-related information is collected. This includes displaying a series of health-related questions designed to elicit responses from the individual, forming the basis of the health-related information. The system may also include steps for processing this information, such as analyzing the responses to generate insights, recommendations, or alerts based on the collected data. The questions may cover various aspects of health, including symptoms, medical history, lifestyle factors, or wellness metrics, depending on the application. The system may further include features for validating the responses, ensuring data accuracy, and storing the information securely for future reference or sharing with healthcare providers. The user interface is designed to be intuitive, ensuring ease of use for individuals of varying technical proficiency. The method may also integrate with other health monitoring devices or databases to provide a holistic view of the individual's health status. This approach enhances the efficiency and reliability of health data collection, supporting better decision-making in healthcare and wellness management.
Unknown
September 15, 2020
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